Triple

T20072001
Position Surface form Disambiguated ID Type / Status
Subject Kāvyādarśa E499760 entity
Predicate author P4 FINISHED
Object Daṇḍin
Daṇḍin was a classical Sanskrit poet and literary theorist, renowned for his influential works on poetics and ornate prose style in early medieval India.
 E1410103 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Daṇḍin | Statement: [Kāvyādarśa, author, Daṇḍin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daṇḍin
Context triple: [Kāvyādarśa, author, Daṇḍin]
  • A. Dande
    Dande is a town and municipality located in Angola’s Bengo Province.
  • B. Danta
    Danta is a town in the Banaskantha district of Gujarat, India, known for its historical and cultural significance in the region.
  • C. Dashanana
    Dashanana is an epithet of the demon-king Ravana from the Hindu epic Ramayana, highlighting his legendary form with ten heads and immense power.
  • D. Dhamdaha
    Dhamdaha is a town in the Purnia district of Bihar, India, known primarily as a local administrative and market center for the surrounding rural region.
  • E. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daṇḍin
Triple: [Kāvyādarśa, author, Daṇḍin]
Generated description
Daṇḍin was a classical Sanskrit poet and literary theorist, renowned for his influential works on poetics and ornate prose style in early medieval India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daṇḍin
Target entity description: Daṇḍin was a classical Sanskrit poet and literary theorist, renowned for his influential works on poetics and ornate prose style in early medieval India.
  • A. Dande
    Dande is a town and municipality located in Angola’s Bengo Province.
  • B. Danta
    Danta is a town in the Banaskantha district of Gujarat, India, known for its historical and cultural significance in the region.
  • C. Dashanana
    Dashanana is an epithet of the demon-king Ravana from the Hindu epic Ramayana, highlighting his legendary form with ten heads and immense power.
  • D. Dhamdaha
    Dhamdaha is a town in the Purnia district of Bihar, India, known primarily as a local administrative and market center for the surrounding rural region.
  • E. Savindan
    Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f3d1ad48190b434568a0c0d60de completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a08203132d48190b3f1313dae3e6fc1 completed May 16, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0821390af08190a4aca33d33f0e71d completed May 16, 2026, 7:48 a.m.
Created at: April 11, 2026, 3:40 p.m.